Convolutional Network Analysis of Optical Micrographs for Liquid Crystal Sensors-Reference-Cited by-同舟云学术

Convolutional Network Analysis of Optical Micrographs for Liquid Crystal Sensors

Published:2020-06-09 Issue:28 Volume:124 Page:15152-15161
ISSN:1932-7447
Container-title:The Journal of Physical Chemistry C
language:en
Short-container-title:J. Phys. Chem. C

Author:

Smith Alexander D.¹,Abbott Nicholas²^ORCID,Zavala Victor M.¹^ORCID

Affiliation:

1. Department of Chemical and Biological Engineering, University of Wisconsin-Madison, 1415 Engineering Drive, Madison, Wisconsin 53706, United States

2. Smith School of Chemical and Biomolecular Engineering, Cornell University 113 Ho Plaza, Ithaca, New York 14853, United States

Funder

Division of Information and Intelligent Systems

Division of Materials Research

Publisher

American Chemical Society (ACS)

Subject

Surfaces, Coatings and Films,Physical and Theoretical Chemistry,General Energy,Electronic, Optical and Magnetic Materials

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpcc.0c01942

Reference21 articles.

1. Principles for Measurement of Chemical Exposure Based on Recognition-Driven Anchoring Transitions in Liquid Crystals

2. Chiral-nematic liquid crystals as one dimensional photonic materials in optical sensors

3. Liquid crystal measurements of heat transfer and surface shear stress

4. Use of self-assembled monolayers, metal ions and smectic liquid crystals to detect organophosphonates

5. Classification of brain tumor type and grade using MRI texture and shape in a machine learning scheme

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